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2021 Nian 12 Yue 22 , Professor Ki Bun new team at Peking University School of Basic Medical Science Advances on-line magazine published a report entitled " Metabolic and Detection Systems Analyzes of pancreatic ductal adenocarcinoma through Machine Learning, lipidomics, and Multi-OMICS " research paper, Introduced the comprehensive analysis of the metabolic characteristics of pancreatic ductal adenocarcinoma ( pancreatic cancer ) by the team and collaborators using machine learning combined with lipidomics and multi-omics technology , developed an artificial intelligence-assisted PDAC serum metabolism detection method, and displayed related molecules Mechanism
.
Pancreatic cancer is currently one of the cancers with the highest mortality rate.
It is characterized by rapid progress, early metastasis and difficult diagnosis
.
However, apart from the traditional blood marker CA19-9 and imaging methods, there is no other effective method for the diagnosis of pancreatic cancer at this stage
Yin Yuxin's team and collaborators have developed a non-invasive detection method for pancreatic cancer using machine learning-assisted metabolomics
.
Using support vector machine - greedy algorithm and high resolution mass spectrometry to analyze non-targeted metabolomics data, 17 serum metabolic markers were screened , and a multi-reaction detection mode targeted metabolism detection method
The research established a pancreatic cancer detection and analysis method that combines machine learning and targeted metabolomics
.
It demonstrates the advantages of machine learning-assisted serum metabolomics in detecting pancreatic cancer and its application prospects in cancer diagnosis
Postdoctoral Fellow Wang Guangxi, Peking University School of Basic Medicine, Associate Researcher Yao Hantao, Institute of Automation, Chinese Academy of Sciences, Deputy Chief Physician Gong Yan, General Hospital of the People’s Liberation Army, and Deputy Chief Physician Lu Zipeng, Jiangsu Provincial People’s Hospital are the co-first authors of this paper, and Professor Yin Yuxin, Institute of Systems Biomedicine, Peking University , Associate Professor Guo Limei, Department of Pathology, Peking University School of Basic Medicine, Department of Pathology, Peking University Third Hospital, Professor Zeng Qiang from the General Hospital of the People’s Liberation Army, and Professor Jiang Kuirong from Jiangsu Provincial People’s Hospital are the co-corresponding authors
.
This work was also supported by the team of Professor Yang Yinmo from Peking University First Hospital, the team of senior engineers from Peking University Analysis and Testing Center Nie Honggang, Professor Zhao Zhicheng and Dr.
Professor Yin Yuxin has been engaged in research in the field of precision medicine and tumor metabolism for a long time.
Original link: https:// University School of Basic Medicine)
